Dec. 16, 2022, 09:00-10:00
1. The Dynamics of Q-learning in Population Games: a Physics-inspired Continuity Equation Model (AAMAS 2022)
Authors: Shuyue Hu, Chin-Wing Leung, Ho-fung Leung, Harold Soh
2. Modelling the dynamics of multi-agent Q-learning: the stochastic effects of local interaction and incomplete information (IJCAI 2022)
Authors: Chin-wing Leung, Shuyue Hu, Ho-fung Leung
3. Modelling the Dynamics of Regret Minimization in Large Agent Populations: a Master Equation Approach (IJCAI 2022)
Authors: Zhen Wang, Chunjiang Mu, Shuyue Hu, Chen Chu, Xuelong Li
Dec. 16, 2022, 10:20 - 11:30
1. Incentives to Invite Others to Form Larger Coalitions (AAMAS 2022)
Authors: Yao Zhang and Dengji Zhao
2. Deep FTRL-ORW: An Efficient Deep Reinforcement Learning Algorithm for Solving Imperfect Information Extensive-Form Games (AAAI2023)
Authors: Linjian Meng, Zhenxing Ge, Pinzhuo Tian, Bo An, Yang Gao
3. Modeling Rationality: Towards Better Performance Against Unknown Agents in Sequential Games (IEEE TRANSACTIONS ON CYBERNETICS)
Authors: Zhenxing Ge, Shangdong Yang, Pinzhuo Tian, Zixuan Chen, Yang Gao
Dec. 16, 2022, 14:00 - 15:00
1. Emergence of Punishment in Social Dilemma with Environmental Feedback (AAAI 2023)
Authors: Zhen Wang,Zhao Song,Chen Shen,Shuyue Hu
2. A Flexi Partner Selection Model for the Emergence of Cooperation in N-person Social Dilemmas (DAI 2022)
Authors: Tu Gu and Bo An
3. Maximal Information Propagation with Limited Resources (DAI 2022)
Authors: Xu Ge, Xiuzhen Zhang and Dengji Zhao
Dec. 16, 2022, 15:55 - 17:00
1. Lifelong incremental reinforcement learning with online Bayesian inference (IEEE Transactions on Neural Networks and Learning Systems)
Authors: Zhi Wang, Chunlin Chen, and Daoyi Dong
2. CtrlFormer: Learning Transferable State Representation for Visual Control via Transformer (ICML2022)
Authors: Yao Mu, Shoufa Chen, Mingyu Ding, Jianyu Chen, Runjian Chen, Ping Luo
3. PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration (ICML 2022)
Authors: Pengyi Li, Hongyao Tang, Tianpei Yang, Xiaotian Hao, Tong Sang, Yan Zheng, Jianye Hao, Matthew E.Taylor, Zhen Wang
Dec. 17, 2022, 10:15 - 11:35
1. A Distributed RBF-Assisted Differential Evolution for Distributed Expensive Constrained Optimization (DAI 2022)
Authors: Feng-Feng Wei, Xiao-Qi Guo, Wen-Jin Qiu, Tai-You Chen and Wei-Neng Chen
2. The Teaching Dimension of Regularized Kernel Learners (ICML 2022)
Authors: Hong Qian*,Xu-Hui Liu*, Chen-Xi Su, Aimin Zhou, Yang Yu
3. Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization (ICML 2022)
Authors: Minghuan Liu, Zhengbang Zhu, Yuzheng Zhuang, Weinan Zhang, Jianye Hao, Yong Yu, Jun Wang
4. Multi-agent Dynamic Algorithm Configuration (NeurIPS 2022)
Authors: Ke Xue, Jiacheng Xu, Lei Yuan, Miqing Li, Chao Qian, Zongzhang Zhang, and Yang Yu
Dec. 17, 2022, 15:35 - 17:15
1. Optimistic Exploration based on Categorical-DQN for Cooperative Markov games (DAI 2022)
Authors: Yu Tian, Chengwei Zhang, Qing Guo, Kangjie Zheng, Wanqing Fang, Xintian Zhao and Shiqi Zhang
2. Socially-Attentive Policy Optimization in Multi-Agent Self-Driving System (CoRL 2022)
Authors: Zipeng Dai,Tianze Zhou,Kun Shao,David Henry Mguni,Bin Wang,Jianye Hao
3. LDSA: Learning Dynamic Subtask Assignment in Cooperative Multi-Agent Reinforcement Learning (NeurIPS 2022)
Authors: Mingyu Yang, Jian Zhao, Xunhan Hu, Wengang Zhou, Jiangcheng Zhu, and Houqiang Li
4. Multi-Agent Reinforcement Learning is A Sequence Modeling Problem (NeurIPS 2022)
Authors: Muning Wen, Jakub Grudzien Kuba, Runji Lin, Weinan Zhang, Ying Wen, Jun Wang, Yaodong Yang
5. Efficient Multi-agent Communication via Self-supervised Information Aggregation (NeurIPS 2022)
Authors: Cong Guan, Feng Chen, Lei Yuan, Chenghe Wang, Hao Yin, Zongzhang Zhang, Yang Yu